ICCISE 2027: International Conference on Computational Intelligence and Software Engineering

ICCISE 2027: International Conference on Computational Intelligence and Software Engineering focuses on advancing computational intelligence and software engineering through neural, fuzzy, evolutionary, and learning-based methods applied to real-world systems, data analysis, and intelligent applications.

Key Topics

• Computational neuroscience
• Neural Networks
• Mathematical modeling of neural systems
• Connectionist theory and cognitive science
• Associative memories
• Neurodynamic analysis
• Embedded neural systems
• Neurodynamic optimization and adaptive dynamic programming
• Principal and independent component analysis
• Probabilistic and information-theoretic methods
• Supervised, unsupervised and reinforcement learning
• Hybrid intelligent systems
• Brain computer interface
• Brain Imaging and neural information processing
• Support vector machines and kernel methods
• Neuroinformatics and bioinformatics
• Data mining
• Autonomous mental development
• Time series analysis
• Pattern recognition
• Robotic and control applications
• Image and signal processing
• Transportation systems
• Telecommunications
• Hardware implementation
• Intrusion detection and fault diagnosis
• Emerging areas
• Real-world applications
• Fuzzy logic and fuzzy set theory
• Fuzzy Systems
• Fuzzy and rough data analysis
• Fuzzy-neuro-evolutionary -rough hybrids
• Fuzzy decision making
• Fuzzy optimization and design
• Fuzzy mathematics
• Fuzzy systems modeling and identification
• Fuzzy pattern recognition
• Fuzzy systems architectures and hardware
• Fuzzy control and systems
• Fuzzy image processing
• Fuzzy information processing
• Fuzzy data mining and forecasting
• Fuzzy internet and multimedia
• Fuzzy human interface
• Granular computing
• Fuzzy computing with words
• Emerging areas
• Real-world applications
• Ant colony optimization
• Evolutionary Computation
• Artificial ecology
• Artificial immune systems
• Autonomous mental and behaviour development
• Artificial life
• Classifier systems
• Bioinformatics and bioengineering
• Cognitive systems and applications
• Coevolution and collective behaviour
• Constraint and uncertainty handling
• Combinatorial and numerical optimization
• Differential evolution
• Cultural algorithms
• Evolutionary computation for bioinformatics
• Estimation of Distribution Algorithms
• Evolutionary computer vision
• Evolutionary computation in dynamic and uncertain environments
• Evolutionary design
• Evolutionary data mining
• Evolutionary intelligent agents
• Evolutionary games
• Evolutionary robotics
• Evolutionary learning systems
• Evolvable hardware and software
• Evolutionary techniques in economics, finance and marketing